✨ Upwork Expert-Vetted & 𝐓𝐨𝐩 𝐫𝐚𝐭𝐞𝐝 𝐩𝐥𝐮𝐬 (Top 1%) ✨ 100 % Job Success in large Projects Senior Data Scientist with a combined 6+ years of experience [𝐇𝐞𝐚𝐥𝐭𝐡𝐜𝐚𝐫𝐞, 𝐒𝐨𝐜𝐢𝐚𝐥 𝐒𝐞𝐜𝐮𝐫𝐢𝐭𝐲, 𝐓𝐨𝐮𝐫𝐢𝐬𝐦, 𝐅𝐢𝐧𝐭𝐞𝐜𝐡 Industries] I help businesses maximize their growth potential through data-driven solutions and assist Tech teams to build robust ML solutions from real-world Sensors and Time Series data. I specialize in Feature Engineering, Event Detection, and Predictive Modeling, with a strong focus on model reliability and uncertainty estimation. I also deliver clear Technical Reports, Presentations and decision focused documentation that bridge research and product. EXPERTISE - Research | Custom Technical Reports (Text + Figures + Interpretation) | Code/Scientific Documentation. - Data Analytics: Data Cleaning, Exploratory Analysis, and actionable Insight generation. - Designing, Training and Evaluating AI/Machine Learning models. - Collecting, Cleaning and Managing data and databases. - Developing the data and result into a format easily representable to other employees, investors, and other researchers. SKILLSET ✅ Time Series Analysis (Sensors/ Signals, Accelerometer ...) ✅ Biological Signals: Heart and Breathing, Temperature, Muscle activity, Brain activity, Blood Pressure, Oxygen levels and Body Composition. - Trend/ Behavioral Analysis and Profiling. - IoT/Sensor Data Diagnostics - Anomaly Detection - Exploratory Data Analysis - Scoping sessions and Data‑Quality assessments ✅ Python (Pandas–Scikit-learn–Numpy–Scipy, Seaborn–Keras–Pytorch–TensorFlow). ✅ R (ggplot2–dplyr–tidyr –caret–Shiny–Tidyquant). ✅ Machine Learning Algorithms (PCA, K-means, Random Forest, XGboost, Logistic Regression, SVM, etc..). ✅ Deep Learning (Neural Networks, CNN, RNN, ...) also the tools: - SQL/No-SQL: MongoDB, MySQL. - Tableau | Power BI. - MATLAB | R-studio. - Git - C/C++ I'm adaptable, quick, and reliable, with a sharp eye for details and excellent communication skills (6 languages). I'm eager to help you solve any data science challenges you might have. ------------------------------------------------------------------------------------------------------------------------- Testimonials from some of my clients: ✨ "Working with Faten was effortless. She is dependable, while also incredibly collaborative. Her dedication to work and ability to deliver consistently on-time and beyond expectations render her invaluable for any project. I highly recommend Faten to anyone seeking a skilled, reliable and communicative Machine Learning Engineer and or Data Scientist for their next initiative." ✨"Faten is very professional - prompt feedback, clear communication, and easy to work with. Would recommend working with Faten on ANY project!" ✨"It was an absolute pleasure to work with Faten. She is super clear on communication and has a creative curiosity about all projects. She is a brilliant soundboard and fits into the projects, regardless of where she is asked to assist. She always adds value. I will recommend her without reservation"

COMPÉTENCES&EXPERIENCE -Machine learning -Generative AI -Retrieval Augmented Generation - Database Modelisation - Web dev :Angular , Spring boot - Wordpress, -

Presently pursuing my M.Sc. degree in Biomedical Engineering at Bangladesh University of Engineering and Technology, Bangladesh. I am currently working on biomedical signal processing and deep learning-based health informatics projects as an active member of the m-health lab. My other research interests include biomedical simulations, biomedical Instrumentation, and edge device optimization. I am pretty much proficient in python and Matlab programming.

I am an MTech-PhD scholar in Computational Biology with specialized expertise in bioinformatics, machine learning, and multi-omics data analysis. Backed by peer-reviewed publications, I bring a strong foundation in research and a detail-oriented approach to every project. 🔬 Bioinformatics Expertise • Proficient in RNA-seq, single-cell RNA-seq, whole genome, exome, and metagenomic analyses • Skilled in microbiome profiling, GWAS, bacterial genome assembly, annotation, and phylogenetics • Hands-on experience with tools such as QIIME2, MEGA, Trinity, DESeq2, Seurat, GATK, HISAT2, BLAST, SPAdes, and Picard 💻 Programming & Pipeline Development • Proficient in Python, R, Bash, and Perl • Adept at developing robust, scalable pipelines for high-throughput data processing and analysis 📊 Statistical & Machine Learning Skills • Academic experience teaching mathematics and statistics • Well-versed in SPSS, Excel, Python, and R for data analysis • Familiar with core machine learning techniques including clustering, SVM, and random forests I offer reliable, reproducible, and publication-ready bioinformatics solutions from raw data processing to advanced analytics and interpretation.

🏆 𝗨𝗽𝘄𝗼𝗿𝗸 𝗧𝗼𝗽 𝗥𝗮𝘁𝗲𝗱 𝗣𝗹𝘂𝘀 𝗧𝗮𝗹𝗲𝗻𝘁 | Senior Full-Stack AI & Data Engineer ✅ A 100% refund if I set the wrong expectation and can’t deliver. No questions asked. ⸻ 𝗣𝗿𝗼𝗳𝗲𝘀𝘀𝗶𝗼𝗻𝗮𝗹 𝗦𝘂𝗺𝗺𝗮𝗿𝘆 I am an AI Lead and Senior Full-Stack Engineer with over 5 years of experience architecting, scaling, and deploying production-grade AI systems. I specialize in taking complex machine learning models out of testing environments and integrating them securely into active business operations. Whether you need a heavy-duty backend data pipeline, an autonomous multi-agent network, or a polished Next.js frontend to allow users to interact with your AI, I build deterministic, end-to-end systems that scale. ⸻ ⭐ 𝗪𝗵𝗮𝘁 𝗠𝘆 𝗖𝗹𝗶𝗲𝗻𝘁𝘀 𝗦𝗮𝘆: "He doesn’t just build models—he solves problems with clarity, speed, and real impact." "Ahmed understands data like a second language—every engagement delivers actionable insight." ⸻ 𝗪𝗵𝘆 𝗪𝗼𝗿𝗸 𝗪𝗶𝘁𝗵 𝗠𝗲? 🔹 𝗘𝗻𝗱-𝘁𝗼-𝗘𝗻𝗱 𝗙𝘂𝗹𝗹-𝗦𝘁𝗮𝗰𝗸 𝗘𝘅𝗲𝗰𝘂𝘁𝗶𝗼𝗻: I don't just deliver a disconnected Python script. I build the robust serverless backends (FastAPI) and the responsive frontends (React/Next.js) required to deploy a complete SaaS product. 🔹 𝗘𝗻𝘁𝗲𝗿𝗽𝗿𝗶𝘀𝗲-𝗚𝗿𝗮𝗱𝗲 𝗔𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗲: I specialize in zero-leakage, highly secure ML and RAG architectures trusted by top-tier global consulting firms and national government bodies. 🔹 𝗗𝗲𝘁𝗲𝗿𝗺𝗶𝗻𝗶𝘀𝘁𝗶𝗰 𝗔𝗜 𝗢𝗽𝗲𝗿𝗮𝘁𝗶𝗼𝗻𝘀: I enforce strict data schemas to ensure LLMs output exact, usable data (JSON) rather than hallucinated responses. 🔹 𝗧𝗿𝗮𝗻𝘀𝗽𝗮𝗿𝗲𝗻𝘁 & 𝗙𝗮𝘀𝘁 𝗗𝗲𝗹𝗶𝘃𝗲𝗿𝘆: As an independent technical lead, I offer crystal-clear communication, direct feedback loops, and strict adherence to deadlines. ⸻ 𝗖𝗼𝗿𝗲 𝗔𝗿𝗲𝗮𝘀 𝗼𝗳 𝗘𝘅𝗽𝗲𝗿𝘁𝗶𝘀𝗲 𝟭. 𝗙𝘂𝗹𝗹-𝗦𝘁𝗮𝗰𝗸 𝗔𝗜 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁 • 𝗙𝗿𝗼𝗻𝘁𝗲𝗻𝗱: React (4+ years), Next.js, TypeScript, Tailwind CSS. • 𝗕𝗮𝗰𝗸𝗲𝗻𝗱 𝗜𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻: Seamlessly connecting complex Python/FastAPI AI backends to modern web interfaces. • 𝗗𝗮𝘁𝗮𝗯𝗮𝘀𝗲 𝗔𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗲: PostgreSQL, Vector Databases (Pinecone, Qdrant), Graph Databases. 𝟮. 𝗔𝗜 𝗔𝗴𝗲𝗻𝘁𝘀 & 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻 • 𝗔𝗴𝗲𝗻𝘁𝗶𝗰 𝗙𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸𝘀: Building autonomous, task-driven AI networks with LangGraph, LangChain, and CrewAI. • 𝗪𝗼𝗿𝗸𝗳𝗹𝗼𝘄 𝗢𝗿𝗰𝗵𝗲𝘀𝘁𝗿𝗮𝘁𝗶𝗼𝗻: Advanced custom deployments using n8n, Apify, and Webhooks for high-volume data ingestion. 𝟯. 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 & 𝗡𝗟𝗣 • 𝗗𝗲𝗲𝗽 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 & 𝗠𝗟: PyTorch, XGBoost, Random Forest, Transformers (BERT, RoBERTa, GPT). • 𝗡𝗟𝗣 𝗣𝗶𝗽𝗲𝗹𝗶𝗻𝗲𝘀: Enterprise RAG, Text Classification, Named Entity Recognition (NER), Sentiment Analysis. • 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲: Statistical analysis, data wrangling (pandas, NumPy), and rigorous A/B testing. 𝟰. 𝗠𝗼𝗱𝗲𝗹 𝗗𝗲𝗽𝗹𝗼𝘆𝗺𝗲𝗻𝘁 & 𝗠𝗟𝗢𝗽𝘀 • 𝗜𝗻𝗳𝗿𝗮𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲: Microsoft Azure, AWS, Google Cloud. • 𝗗𝗲𝘃𝗢𝗽𝘀: Dockerized environments, CI/CD pipelines, robust job retries. • 𝗔𝗣𝗜 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁: High-performance REST APIs with FastAPI. ⸻ 𝗣𝗿𝗼𝗷𝗲𝗰𝘁 𝗛𝗶𝗴𝗵𝗹𝗶𝗴𝗵𝘁𝘀 • 𝗘𝗻𝘁𝗲𝗿𝗽𝗿𝗶𝘀𝗲 𝗔𝗜: Designed and deployed zero-leakage RAG pipelines and custom AI deployments for multi-billion-dollar organizations and major national government sectors. • 𝗠𝘂𝗹𝘁𝗶-𝗔𝗴𝗲𝗻𝘁 𝗡𝗲𝘁𝘄𝗼𝗿𝗸𝘀: Architected stateful backend networks for enterprise AI platforms where autonomous agents securely query databases and reason through complex constraints. • 𝗛𝗶𝗴𝗵-𝗩𝗼𝗹𝘂𝗺𝗲 𝗘𝘅𝘁𝗿𝗮𝗰𝘁𝗶𝗼𝗻: Engineered heavy-duty LLM data pipelines for high-volume SaaS applications that force the extraction of 38+ precise data points from unstructured text with zero hallucinations. ⸻ 𝗜𝗻𝗱𝘂𝘀𝘁𝗿𝗶𝗲𝘀 𝗜 𝗦𝗲𝗿𝘃𝗲 Finance & Legal | Healthcare & Life Sciences | E-commerce & Marketplaces | Real Estate & Property Management | EdTech | B2B SaaS Startups ⸻ 𝗟𝗲𝘁’𝘀 𝗕𝘂𝗶𝗹𝗱 𝗬𝗼𝘂𝗿 𝗡𝗲𝘅𝘁 𝗔𝗜 𝗦𝗼𝗹𝘂𝘁𝗶𝗼𝗻 If you are looking for an engineer who thinks in system architecture rather than just running prompts, let's connect. 📩 𝗦𝗲𝗻𝗱 𝗺𝗲 𝗮 𝗺𝗲𝘀𝘀𝗮𝗴𝗲 𝘄𝗶𝘁𝗵 𝗮 𝗯𝗿𝗶𝗲𝗳 𝗼𝘃𝗲𝗿𝘃𝗶𝗲𝘄 𝗼𝗳 𝘆𝗼𝘂𝗿 𝗰𝘂𝗿𝗿𝗲𝗻𝘁 𝗯𝗼𝘁𝘁𝗹𝗲𝗻𝗲𝗰𝗸, 𝗮𝗻𝗱 𝗜 𝘄𝗶𝗹𝗹 𝘄𝗮𝗹𝗸 𝘆𝗼𝘂 𝘁𝗵𝗿𝗼𝘂𝗴𝗵 𝗲𝘅𝗮𝗰𝘁𝗹𝘆 𝗵𝗼𝘄 𝗜 𝘄𝗼𝘂𝗹𝗱 𝗮𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁 𝘁𝗵𝗲 𝘀𝗼𝗹𝘂𝘁𝗶𝗼𝗻.

AI Engineer | LLM Specialist | Machine Learning Engineer | Data Scientist | Automation Expert I help businesses leverage Artificial Intelligence, Large Language Models (LLMs), Machine Learning, Data Science, and Workflow Automation to streamline operations, reduce costs, and unlock new opportunities for growth. With 6+ years of experience building production-ready AI and automation solutions, I have successfully delivered intelligent systems ranging from AI agents and predictive analytics platforms to business process automation workflows that save hundreds of hours of manual work. 💡 Core Expertise AI & Large Language Models (LLMs) ✅ OpenAI (GPT-4/5), Claude, Gemini, Llama, Mistral, DeepSeek ✅ AI Agents & Multi-Agent Systems ✅ RAG (Retrieval-Augmented Generation) ✅ Chatbots & Virtual Assistants ✅ Prompt Engineering ✅ Fine-Tuning & Model Optimization ✅ Document Intelligence & Knowledge Bases ✅ Semantic Search & Vector Databases Machine Learning & Data Science ✅ Predictive Modeling ✅ Classification & Regression ✅ Time Series Forecasting ✅ Recommendation Systems ✅ Statistical Analysis ✅ Data Cleaning & Feature Engineering ✅ Business Intelligence & Analytics Automation & AI Workflows ✅ n8n ✅ Make (Integromat) ✅ Zapier ✅ LangChain ✅ LangGraph ✅ CrewAI ✅ AutoGen ✅ API Integrations ✅ CRM Automation ✅ Email & Lead Generation Automation ✅ Workflow Orchestration ✅ Data Pipeline Automation Deployment & MLOps ✅ FastAPI, Flask ✅ Docker ✅ AWS, Azure, GCP ✅ CI/CD Pipelines ✅ Kubernetes ✅ Production AI Systems --- Featured AI & Automation Projects AI Customer Support Agent • Built an AI-powered support assistant using OpenAI, LangChain, and Pinecone • Integrated company documentation and FAQs using RAG architecture • Reduced response times by over 80% • Deployed via FastAPI and Docker Intelligent Document Processing System • Automated extraction of information from invoices, contracts, and PDFs • Combined OCR, LLMs, and workflow automation • Integrated with Google Drive, Airtable, and Slack • Eliminated hours of manual data entry End-to-End Lead Generation Automation • Built a fully automated lead generation pipeline using n8n and OpenAI • Scraped and enriched leads from multiple sources • Generated personalized outreach emails using AI • Automatically pushed qualified leads into HubSpot and Google Sheets AI Email Automation Assistant • Developed an AI workflow that classifies incoming emails, drafts responses, and routes requests automatically • Connected Gmail, Slack, Notion, and CRM platforms • Reduced manual email processing workload by 70% Business Intelligence Automation Dashboard • Automated data collection from multiple APIs and databases • Built real-time dashboards using Streamlit and Power BI • Automated daily and weekly reporting processes Multi-Language Text Summarization Platform • Summarizes documents in multiple languages using transformer models • Includes sentiment analysis, keyword extraction, and readability scoring • Available through web application and API Healthcare AI Prediction System • Developed machine learning models for heart disease, Alzheimer's disease, diabetic retinopathy, and pneumonia detection • Built interactive dashboards and reporting tools for end users African Language Speech-to-Text System • Designed and deployed speech recognition models for local African languages • Hosted on AWS with scalable API infrastructure ### 📈 Sales Forecasting & Demand Prediction • Built forecasting systems using ARIMA, Prophet, XGBoost, and LSTM models • Enabled data-driven inventory and business planning --- 🛠 Tech Stack Python | SQL | Pandas | NumPy | Scikit-learn | TensorFlow | PyTorch | OpenAI API | Claude API | Gemini API | LangChain | LangGraph | CrewAI | AutoGen | n8n | Make | Zapier | FastAPI | Flask | Streamlit | Docker | AWS | Azure | GCP | Pinecone | ChromaDB | FAISS | Weaviate | Power BI | Tableau I don't just build models—I build complete AI and automation solutions that solve real business problems, improve efficiency, and deliver measurable ROI. Let's transform your ideas into intelligent, scalable, and automated systems.

With 7+ years of experience in AI/ML, I focus on building solutions that are not just technically sound but also practical and valuable in real-world scenarios. My work is driven by research, experimentation, and selecting the right technologies for each unique problem. 🔹 Where I Add Value I have strong hands-on experience in Computer Vision / Machine Vision, working on problems such as: * Object detection and recognition * Multi-camera tracking and digital twin systems * Face recognition and human pose estimation * Edge AI and real-time inference * Inspection systems and anomaly detection * OCR and text extraction * Data preparation including segmentation, augmentation, and synthesis 🔹 Machine Learning Expertise Depending on the problem, I apply a wide range of ML techniques: * Supervised Learning: Classification, Regression * Unsupervised Learning: Clustering, Dimensionality Reduction * Semi-supervised learning * Reinforcement learning 🔹 NLP & AI Systems Alongside vision, I’ve worked on intelligent systems involving: * GPT-based models (GPT-3, GPT-4) and LangChain workflows * Text summarization and content generation * Recommendation systems (feature-based, user-based, hybrid) * Sentence similarity and semantic analysis * Conversational AI and dialog systems * Speech processing (ASR, speech synthesis) * Machine translation 🔹 Deep Learning Applications I’ve applied deep learning across multiple real-world use cases: * Multi-camera tracking systems * Autonomous drones * Chatbots and service bots * Predictive analytics solutions I’ve also worked closely with startups and businesses to build MVPs and POCs, helping them validate ideas and move faster toward production. ✔️ Open to signing NDAs for confidential projects ✔️ Additional demos and project details available on request If you’re looking to build something in AI or want to explore a new idea, feel free to reach out happy to discuss and contribute. Best regards Disha

Data Analyst | Power BI Developer | Python & Statistical Analysis Specialist I help businesses transform raw data into actionable insights through dashboards, KPI reporting, automation, and advanced analytics. My expertise includes: • Power BI Dashboard Development • Excel Automation & Reporting • Python Data Analysis • SPSS, R and Statistical Modeling • KPI Design and Business Intelligence • Research Analytics • Data Cleaning and Visualization I focus on delivering practical, business-oriented solutions that improve decision-making and reporting efficiency.

I am an experienced AI Engineer with over six years of professional expertise, working with companies worldwide to develop high-quality products and drive innovation. Throughout my career, I have taken on leadership roles, guiding teams in delivering impactful solutions. My core expertise lies in Large Language Models (LLMs), where I have extensive experience in fine-tuning, running open-source LLMs, building Retrieval-Augmented Generation (RAG) pipelines, designing knowledge graphs, and implementing vector databases. I have successfully developed over 50 projects utilizing LLM applications, including advanced voice-enabled chatbot systems that deliver seamless conversational experiences. In addition to my LLM expertise, my academic background includes a Master’s research thesis on Diffusion Models for context-based image generation. This has given me a deep understanding of generative computer vision models and their applications, allowing me to work on cutting-edge solutions in the domain of generative AI. My research and hands-on experience enable me to tackle complex challenges in both AI and computer vision. I am also an AWS Certified Cloud Engineer with significant experience in deployment and cloud management, ensuring scalable and efficient solutions for businesses. Over the course of my career, I have developed more than 200 projects and collaborated with over 20 companies, gaining expertise across a wide range of technologies, including but not limited to Java, C++, SQL, Theano, Go, and R. This diverse experience has equipped me with the versatility and technical depth to deliver exceptional results on projects of any scale and complexity.

I have several years of experience, using multiple programming languages and frameworks, in both academia and industry, in statistical modeling, probabilistic programming, classical machine learning and application of deep learning in several domains. The last several years I have been primarily ad cloud and data architect and data engineer and AI engineer. I have extensive experience in data modeling, pipeline development, data compliance, and worked with several database technologies (relational, NoSQL, graph, Hadoop and Spark), as well as CI/CD, API development, and architecting and development with multi-cloud computing platforms (Microsoft Azure, AWS, and GCP). I have deep experience in Databricks, and am a certified data engineer professional. 

I have worked in various fields such as, statistical genetics, behavior genetics, computational social science, app development, FinTech and healthcare data. The last 3 years I have run a consultancy while also building two profitable startups as data architect, data engineer while also being responsible for AI engineering and machine learning. Current Certifications: Databricks: Data Engineer Professional Azure: Developer, Data Scientist, Data Engineer, AI Engineer AWS: Data Engineer GCP: Data Engineer I have an extensive background in Python, R, JavaScript, SQL (T-SQL, PostgreSQL, SparkSQL, Databricks SQL, CQL, HiveQL, Cypher, KQL), with most data science libraries such as Pandas, NumPy, Scikit-learn, SciPy, SymPy, Rapids, PySpark, TensorFlow and TensorFlow Probability, Keras, PyTorch. I have extensive experience with standard data engineering tools: Snowflake, Databricks, Spark, PostgeSQL , dbt , Neo4j, Hadoop, Airflow, Beam, Iceberg, Hive, Kafka

, AirFlow, Flink, SuperBase, Hadoop, Dagster, Prefect, dot. As well as deep experience with several AI frameworks and automation tools: DSPy, LlamaIndex, BAML. LangChain, Hugging Face, AutoGen, LangGraph, a2a, MCP the AI frameworks of all 3 major cloud providers, n8n, Make, PipeDream, Flowise, Zapier, 5 Tran, and AirByte. 
I have extensive experience with multiple cloud providers, especially with the following skills and cloud products:
 General Cloud Development: Databricks in any cloud Azure: Storage, Networking, Functions, VMs, App Service, Synapse, Data Factory, DevOps, Kubernetes Service, API Management, Service Bus, Event Hubs, Event Grid, PubSub, Notification HubsRelay, IoT Hub, Power Apps, Power Automate, Azure Machine Learning, Synapse Analytics, Data Lake Storage, SQL Server, Cosmos DB, Data Flow, Stream Analytics, HDInsight, Redis, Cognitive Services, Text Analytics Service, LUIS, Custom Vision, Bot Service, Cognitive Search, and the general Power Platform AWS: S3, EBS, EC2, Lambda, Networking, RDS, Redshift, Arora, Athena, DynamoDB, DocumentDB, Lake Formation, Glue, Redis, SageMaker, Bedrock, Kinesis, QuickSight Elasstic Beanstalk, Elastic Kubernetes Service, Databricks, Pipeline, EMR, CloudWatch GCP: Storage, Networking, Cloud Functions, VMs, App Engine, Kubernetes Engine, API Gateway, BigQuery, BigTable, DataProc, Composer, DataFlow, Data Fusion, Data Studio, Cloud SQL, CloudSpanner, Cloud Memorystore, Pub/Sub